3 papers
physics.geo-ph2024
Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
Sigmund Slang, Jing Sun, Thomas Elboth +2
Processing marine seismic data is computationally demanding and consists of multiple time-consuming steps. Neural network based processing can, in theory, significantly reduce proc…
physics.geo-ph2024
A convolutional neural network approach to deblending seismic data
Jing Sun, Sigmund Slang, Thomas Elboth +3
For economic and efficiency reasons, blended acquisition of seismic data is becoming more and more commonplace. Seismic deblending methods are always computationally demanding and…
physics.geo-ph2024
Attenuation of marine seismic interference noise employing a customized U-Net
Jing Sun, Sigmund Slang, Thomas Elboth +3
Marine seismic interference noise occurs when energy from nearby marine seismic source vessels is recorded during a seismic survey. Such noise tends to be well preserved over large…